Data Analysis with R

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Data Analysis with R. Learn data analytics in easy to follow stages for beginners

75,00  10,00 

The name of this course is Data Analysis with R. The knowledge you will get with this indescribable online course is astonishing. Learn data analytics in easy to follow stages for beginners.
Not only will you be able to deeply internalize the concepts, but also their application in different fields won’t ever be a problem. The instructor is Mangirdas Adomaitis, one of the very best experts in this field.

Description of this course: Data Analysis with R

Course Description Data analysis becomes essential part of every day life. After this course, you will be able to conduct data analysis task yourself. Gain insights from the data. Will be using R – widely used tool for data analysis and visualization. Data Science project will be core course component – will be working on it after mastering all necessary background. Doing data analysis from ground up to final insights. Starting from very basics we will move to various input and output methods. Yet another important concept – visualization capabilities. After the course you will be able to produce convincing graphs. Background behind functional programming will be presented – including building your own functions. After finishing the course you will feel much more comfortable programming in other languages as well. This is because R being fully empowered programming language itself. Main programming concepts presented: Various data types Conditional statements For and While loops No previous programming knowledge required. Finally, data mining and data science techniques in R delivered in clear fashion together with assignments to make sure you understand topics. Main statistical capabilities behind data science covered. Course is interactive. Specific topic covered in each lecture. Each lecture includes multiple examples. All material covered in videos are available for download! This way student is able to program himself – break things and fix them. Students will finish course in approximately 7-10 days working 3 hours per day. Time spent working individually included. After each section assignment should be completed to make sure you understand material in the section. After you are ready with the solution – watch video explaining concepts behind assignment. I will be ready to give you a hand by answering your questions. Finally, this course is specifically designed to get up to speed fast. Biggest emphasis put on real examples and programming yourself. This distinguishes this course from other material available online – usual courses includes vague slides and long textbooks with no real practise.

Requirements of this course: Data Analysis with R

What are the requirements? Internet connection Computer with Mac, Windows or Linux Desire to master data analysis

What will you learn in this course: Data Analysis with R?

What am I going to get from this course? Data Science project at the end of the course Learn programming concepts Conduct your independent data analysis Learn by examples Assignments after each section Have fun by doing all above Introduction to data science and analytics

Target audience of this course: Data Analysis with R

Who is the target audience? Beginners data analysts Students Users of other analysis tools Those who loves data